ECO6005 Econometrics IBahçeşehir UniversityDegree Programs ECONOMICS AND FINANCE (ENGLISH, PHD)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ECONOMICS AND FINANCE (ENGLISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ECO6005 Econometrics I Fall
Spring
3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi DİLA ASFUROĞLU
Recommended Optional Program Components: None
Course Objectives: The aim of this course is to teach the microeconometric methods used in applied economic research. The course aims to estimate causal relationships using cross-section and panel data. For this reason, econometric studies using experimental and quasi-experimental methods will be analyzed in detail.

Learning Outcomes

The students who have succeeded in this course;
1. Learn how to measure causal relationships using the linear regression model learned in the introductory econometrics course,
2. Conduct regression analysis using the R programming language,
3. Understand how pooled cross-sectional data and panel data help us overcome some of the limitations of the classical linear model,
4. Will understand the potential outcomes framework, as well as selection on observables and unobservables,
5. Decide which data type and method is necessary to study a given economic problem.

Course Content

The course is based on "learning by doing" approach. For this reason, students are expected to replicate an article published in an academic journal or a working paper that has not yet been published, with the approval of the course instructor, using the original data and apply the methods they are learning. To reinforce this learning process the final exam will take the following form: students will form groups of 2 students in the first 4 weeks and select the paper to be replicated. The grading of the final exam will rely on this project that students have been working on throughout the semester. Students are required to, first, make an oral presentation (10 minutes maximum) where students explain the process of replication and comparing their results with the original ones. Then, they have to create a short paper (10 pages maximum) about the replication project.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction MHE (Ch. 1) & W (Ch. 1)
2) Introduction to R
3) Experiments and randomization MHE (Ch. 2)
4) Adjustment: regression vs propensity score MHE (Ch. 3)
5) Linear regression and causality MHE (Ch. 3) & W (Ch. 2,3)
6) Difference in Differences: cross-sectional data MHE (Ch. 5) & W (Ch. 13)
7) Difference in Differences: cross-sectional data MHE (Ch. 5) & W (Ch. 13)
8) Midterm Exam
9) Difference in Differences: panel data MHE (Ch. 5) & W (Ch. 14)
10) Difference in Differences: panel data MHE (Ch. 5) & W (Ch. 14)
11) Instrumental variables MHE (Ch. 4) & W (Ch. 15)
12) Instrumental variables MHE (Ch. 4) & W (Ch. 15)
13) Bootsrap and simulation
14) Project presentations

Sources

Course Notes / Textbooks: Angrist, J. D., and J. S. Pischke (2009). Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton University Press. (MHE)
Wooldridge, J (2020). Introductory Econometrics: A Modern Approach, 7th ed., South-Western College Publishing. (W)
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 10
Midterms 1 % 30
Final 1 % 60
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 13 3 39
Application 13 3 39
Study Hours Out of Class 14 4 56
Presentations / Seminar 1 3 3
Midterms 1 21 21
Final 1 36 36
Total Workload 194

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Being able to evaluate and use new knowledge in Economics and Finance with a systematic approach. 3
1) Being able to develop new thoughts and methods in Economics and Finance by using high-level mental processes such as creative and critical thinking, problem solving and decision making. 2
1) Being able to contribute to the progress in Economics and Finance by independently carrying out an original work that brings innovation to the field, develops a new idea, method, design and/or application or applies a known idea, method, design and/or application to a different field. 4
1) Being able to develop and deepen current and advanced knowledge in the field with original thought and/or research at the level of expertise based on Master's qualifications, and reach original definitions that will bring innovation to the field. 3
1) Being able to critically examine and develop social relations and the norms that guide these relations, and to manage actions to change them when necessary. 1
1) Being able to contribute to the process of becoming an information society and maintaining it by introducing scientific, technological, social or cultural advances in the fields of Economics and Finance. 3
2) Being able to comprehend the interdisciplinary interaction that Economics and Finance are related to; and to reach original results by using knowledge that requires expertise in analyzing, synthesizing and evaluating new and complex ideas. 4
2) Being able to develop a new idea, method, design and/or application that brings innovation to the fields of Economics and Finance, or to apply a known idea, method, design and/or application to a different field, to investigate, comprehend, design, adapt and apply an original subject. 4
2) Being able to defend their original views in the discussion of the issues in the field with experts and to establish an effective communication showing their competence in the field. 5
2) Being able to interact functionally by using strategic decision making processes in solving problems related to Economics and Finance. 2
2) Being able to expand the limits of knowledge in the field by publishing at least one scientific article on Economics and Finance in national and/or international peer-reviewed journals and/or by producing or interpreting an original work. 5
3) Being able to contribute to the solution of social, scientific, cultural and ethical problems encountered in Economics and Finance and to support the development of these values. 5
3) Being able to critically analyze, synthesize and evaluate new and complex ideas. 4
3) Being able to communicate and discuss at an advanced level in written, oral and visual English using at least the European Language Portfolio C1 General Level. 2
3) Ability to lead in environments that require the resolution of unique and interdisciplinary problems. 1
4) Gaining high-level skills in using research methods in studies related to Economics and Finance. 5